Advanced Search
MyIDEAS: Login

Reliable GPS Integer Ambiguity Resolution

Contents:

Author Info

  • Chen, Anning
Registered author(s):

    Abstract

    To operate, guide and control vehicles in low visibility conditions, it is critical that the states of the vehicle are accurately estimated, which includes the three dimensiona position, velocity, and attitude. This can be accomplished by GPS (Global Positioning System) aided encoder or GPS aided inertial approaches. The overall positioning accuracy of either approach will be determined by the GPS performance. Real-time centimeter accuracy GPS positioning can be achieved using carrier phase measurements. This requires fast and reliable on-the-°y integer ambiguity resolution. In this dissertation, we focus on resolving GPS ambiguity problem, including both integer ambiguity estimation and integer ambiguity validation. For integer ambiguity esti- mation, a brief overview of pervious work on integer ambiguity resolution is ¯rst presented. Then, an improved integer ambiguity resolution method is proposed. Subsequently, simu-lations and real-world data are presented to demonstrate the e®ectiveness of the method. We also present integer ambiguity algorithms with auxiliary measurements and algorithms with multiple epoch measurements, both of which are useful in GPS challenging areas. For integer ambiguity validation, a brief overview is ¯rst presented, and then analytic discussion vind test results on several popular validations methods are studied. Finally we discuss GPS modernization and its e®ect on integer estimation and validation

    Download Info

    If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
    File URL: http://www.escholarship.org/uc/item/9gs0t2f9.pdf;origin=repeccitec
    Download Restriction: no

    Bibliographic Info

    Paper provided by University of California Transportation Center in its series University of California Transportation Center, Working Papers with number qt9gs0t2f9.

    as in new window
    Length:
    Date of creation: 01 Jun 2011
    Date of revision:
    Handle: RePEc:cdl:uctcwp:qt9gs0t2f9

    Contact details of provider:
    Postal: 109 McLaughlin Hall, Mail Code 1720, Berkeley, CA 94720-1720
    Phone: 510-642-3585
    Fax: 510-643-3955
    Email:
    Web page: http://www.escholarship.org/repec/uctc/
    More information through EDIRC

    Related research

    Keywords: Architecture;

    References

    References listed on IDEAS
    Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
    as in new window
    1. Train, Kenneth E. & Winston, Clifford, 2006. "Vehicle Choice Behavior and the Declining Market Share of U.S. Automakers," Working paper 331, Regulation2point0.
    2. Small, Kenneth A, 1987. "A Discrete Choice Model for Ordered Alternatives," Econometrica, Econometric Society, vol. 55(2), pages 409-24, March.
    3. Kenneth A. Small & Kurt Van Dender, 2007. "Fuel Efficiency and Motor Vehicle Travel: The Declining Rebound Effect," The Energy Journal, International Association for Energy Economics, vol. 0(Number 1), pages 25-52.
    4. Bhat, Chandra R. & Sen, Sudeshna, 2006. "Household vehicle type holdings and usage: an application of the multiple discrete-continuous extreme value (MDCEV) model," Transportation Research Part B: Methodological, Elsevier, vol. 40(1), pages 35-53, January.
    5. Kenneth Train, 2003. "Discrete Choice Methods with Simulation," Online economics textbooks, SUNY-Oswego, Department of Economics, number emetr2, March Cit.
    6. Mannering, Fred & Winston, Clifford & Starkey, William, 2002. "An exploratory analysis of automobile leasing by US households," Journal of Urban Economics, Elsevier, vol. 52(1), pages 154-176, July.
    7. McManus, Walter, 2007. "The link between gasoline prices and vehicle sales:economic theory trumps conventional Detroit wisdom," MPRA Paper 3463, University Library of Munich, Germany.
    8. Berkovec, James, 1985. "Forecasting automobile demand using disaggregate choice models," Transportation Research Part B: Methodological, Elsevier, vol. 19(4), pages 315-329, August.
    9. Arguea, N M & Hsiao, C & Taylor, G A, 1994. "Estimating Consumer Preferences Using Market Data--An Application to U.S. Automobile Demand," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 9(1), pages 1-18, Jan.-Marc.
    10. Molly Espey & Santosh Nair, 2005. "Automobile Fuel Economy: What Is It Worth?," Contemporary Economic Policy, Western Economic Association International, vol. 23(3), pages 317-323, 07.
    11. Steven Berry & James Levinsohn & Ariel Pakes, 2001. "Differentiated Products Demand Systems from a Combination of Micro and Macro Data: The New Car Market," Cowles Foundation Discussion Papers 1337, Cowles Foundation for Research in Economics, Yale University.
    12. Heffner, Reid R., 2007. "Semiotics and Advanced Vehicles: What Hybrid Electric Vehicles (HEVs) Mean and Why it Matters to Consumers," Institute of Transportation Studies, Working Paper Series qt9mw1t4w3, Institute of Transportation Studies, UC Davis.
    13. Mannering, Fred L. & Train, Kenneth, 1985. "Recent directions in automobile demand modeling," Transportation Research Part B: Methodological, Elsevier, vol. 19(4), pages 265-274, August.
    14. Turrentine, Tom & Kurani, Kenneth S, 2007. "Car buyers and fuel economy?," Institute of Transportation Studies, Working Paper Series qt56x845v4, Institute of Transportation Studies, UC Davis.
    15. Jonathan E. Hughes & Christopher R. Knittel & Daniel Sperling, 2008. "Evidence of a Shift in the Short-Run Price Elasticity of Gasoline Demand," The Energy Journal, International Association for Energy Economics, vol. 29(1), pages 113-134.
    16. Berry, Steven & Levinsohn, James & Pakes, Ariel, 1995. "Automobile Prices in Market Equilibrium," Econometrica, Econometric Society, vol. 63(4), pages 841-90, July.
    17. Cowling, Keith & Cubbin, John, 1972. "Hedonic Price Indexes for United Kingdom Cars," Economic Journal, Royal Economic Society, vol. 82(327), pages 963-78, September.
    18. Small, Kenneth A., 1994. "Approximate generalized extreme value models of discrete choice," Journal of Econometrics, Elsevier, vol. 62(2), pages 351-382, June.
    19. David Revelt & Kenneth Train, 1998. "Mixed Logit With Repeated Choices: Households' Choices Of Appliance Efficiency Level," The Review of Economics and Statistics, MIT Press, vol. 80(4), pages 647-657, November.
    20. Greene, David L. & Patterson, Philip D. & Singh, Margaret & Li, Jia, 2005. "Feebates, rebates and gas-guzzler taxes: a study of incentives for increased fuel economy," Energy Policy, Elsevier, vol. 33(6), pages 757-775, April.
    21. Herriges, Joseph A. & Kling, Catherine L., 1996. "Testing the consistency of nested logit models with utility maximization," Economics Letters, Elsevier, vol. 50(1), pages 33-39, January.
    22. McCarthy, Patrick S, 1996. "Market Price and Income Elasticities of New Vehicles Demand," The Review of Economics and Statistics, MIT Press, vol. 78(3), pages 543-47, August.
    23. Daniel McFadden & Kenneth Train, 2000. "Mixed MNL models for discrete response," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 15(5), pages 447-470.
    24. Berkovec, James & Rust, John, 1985. "A nested logit model of automobile holdings for one vehicle households," Transportation Research Part B: Methodological, Elsevier, vol. 19(4), pages 275-285, August.
    25. Kling, Catherine L. & Herriges, Joseph A., 1995. "Empirical Investigation of the Consistency of Nested Logit Models with Utility Maximization (An)," Staff General Research Papers 1499, Iowa State University, Department of Economics.
    26. Turrentine, Thomas S. & Kurani, Kenneth S., 2007. "Car buyers and fuel economy?," Energy Policy, Elsevier, vol. 35(2), pages 1213-1223, February.
    Full references (including those not matched with items on IDEAS)

    Citations

    Lists

    This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

    Statistics

    Access and download statistics

    Corrections

    When requesting a correction, please mention this item's handle: RePEc:cdl:uctcwp:qt9gs0t2f9. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Lisa Schiff).

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If references are entirely missing, you can add them using this form.

    If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.